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a/returns_pydantic/__pycache__/models.cpython-311.pyc b/returns_pydantic/__pycache__/models.cpython-311.pyc new file mode 100644 index 0000000..8da7d63 Binary files /dev/null and b/returns_pydantic/__pycache__/models.cpython-311.pyc differ diff --git a/returns_pydantic/maybe.py b/returns_pydantic/maybe.py new file mode 100644 index 0000000..140f9b4 --- /dev/null +++ b/returns_pydantic/maybe.py @@ -0,0 +1,62 @@ +import typing + +import pydantic +import pydantic.json_schema +import pydantic_core.core_schema +import returns.maybe +import typing_extensions + + +T = typing.TypeVar("T") + + +class _MaybeAnnotation(typing.Generic[T]): + @classmethod + def __get_pydantic_core_schema__( + cls, + source_type: typing.Any, + handler: pydantic.GetCoreSchemaHandler, + ) -> pydantic_core.core_schema.CoreSchema: + origin = typing_extensions.get_origin(source_type) + if origin is None: + origin = source_type + inner_type = typing.Any + else: + inner_type = typing_extensions.get_args(source_type)[0] + inner_schema = handler.generate_schema(inner_type) + from_optional_schema = pydantic_core.core_schema.chain_schema( + [ + pydantic_core.core_schema.union_schema( + [ + pydantic_core.core_schema.none_schema(), + inner_schema, + ] + ), + pydantic_core.core_schema.no_info_plain_validator_function( + returns.maybe.Maybe.from_optional + ), + ] + ) + return pydantic_core.core_schema.json_or_python_schema( + json_schema=from_optional_schema, + python_schema=pydantic_core.core_schema.union_schema( + [ + pydantic_core.core_schema.is_instance_schema(returns.maybe.Maybe), + from_optional_schema, + ], + ), + serialization=pydantic_core.core_schema.plain_serializer_function_ser_schema( + lambda instance: instance.value_or(None) + ), + ) + + +Maybe = typing.Annotated[returns.maybe.Maybe[T], _MaybeAnnotation] + + +class Model(pydantic.BaseModel): + maybeInt: Maybe[int] + maybeStr: Maybe[str] + + +instance = Model(maybeInt=3, maybeStr="abc") diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29